Sampling

Adding Sentry to your app gives you a great deal of very valuable information about errors and performance you wouldn't otherwise get. And lots of information is good -- as long as it's the right information, at a reasonable volume.

Sampling Error Events

To send a representative sample of your errors to Sentry, set the sampleRate option in your SDK configuration to a number between 0 (0% of errors sent) and 1 (100% of errors sent). This is a static rate, which will apply equally to all errors. For example, to sample 25% of your errors:

Sentry.init({sampleRate: 0.25});

The error sample rate defaults to 1, meaning all errors are sent to Sentry.

Sampling Transaction Events

We recommend sampling your transactions for two reasons:

1. Capturing a single trace involves minimal overhead, but capturing traces for every page load or every API request may add an undesirable load to your system.
2. Enabling sampling allows you to better manage the number of events sent to Sentry, so you can tailor your volume to your organization's needs.

Choose a sampling rate with the goal of finding a balance between performance and volume concerns with data accuracy. You don't want to collect too much data, but you want to collect sufficient data from which to draw meaningful conclusions. If you’re not sure what rate to choose, start with a low value and gradually increase it as you learn more about your traffic patterns and volume.

Configuring the Transaction Sample Rate

The Sentry SDKs have two configuration options to control the volume of transactions sent to Sentry, allowing you to take a representative sample:

1. Uniform sample rate (tracesSampleRate):

   • Provides an even cross-section of transactions, no matter where in your app or under what circumstances they occur.
   • Uses default inheritance and precedence behavior

2. Sampling function (tracesSampler) which:

   • Samples different transactions at different rates
   • Filters out some transactions entirely
   • Modifies default precedence and inheritance behavior

By default, none of these options are set, meaning no transactions will be sent to Sentry. You must set either one of the options to start sending transactions.

Setting a Uniform Sample Rate

To do this, set the tracesSampleRate option in your Sentry.init() to a number between 0 and 1. With this option set, every transaction created will have that percentage chance of being sent to Sentry. (So, for example, if you set tracesSampleRate to 0.5, approximately 50% of your transactions will get recorded and sent.) That looks like this:

Sentry.init({
  // ...

  tracesSampleRate: 0.5,
});

Setting a Sampling Function

To use the sampling function, set the tracesSampler option in your Sentry.init() to a function that will accept a samplingContext object and return a sample rate between 0 and 1. For example:

Sentry.init({
  // ...

  tracesSampler: samplingContext => {
    // Examine provided context data (including parent decision, if any) along
    // with anything in the global namespace to compute the sample rate or
    // sampling decision for this transaction

    if ("...") {
      // These are important - take a big sample
      return 1;
    } else if ("...") {
      // These are less important or happen much more frequently - only take 1%
      return 0.01;
    } else if ("...") {
      // These aren't something worth tracking - drop all transactions like this
      return 0;
    } else {
      // Default sample rate
      return 0.5;
    }
  };
});

For convenience, the function can also return a boolean. Returning true is equivalent to returning 1, and will guarantee the transaction will be sent to Sentry. Returning false is equivalent to returning 0 and will guarantee the transaction will not be sent to Sentry.

Sampling Context Data

Default Sampling Context Data

The information contained in the samplingContext object passed to the tracesSampler when a transaction is created varies by platform and integration.

It includes at least the following:

// contents of `samplingContext`
{
  // human-readable identifier, like "GET /users"
  name: string;
  // if this transaction has a parent, its sampling decision
  parentSampled: boolean;
  // The initial attributes passed to the span
  attributes: Record<string, string | number | boolean>;
}

Custom Sampling Context Data

When using custom instrumentation to create a span, the tracesSampler function will automatically receive the span name and the initial span attributes to use in its sampling decision.

Sentry.startSpan({
  name: 'Search from navbar',
  op: 'search',
  attributes: {
    testGroup: 'A3',
    treatmentName: 'eager load',
  },
});

// Will result in `tracesSampler` receiving:
function tracesSampler(samplingContext) {
  /*
  samplingContext = { 
    name: "Search from navbar", 
    attributes: {
      testGroup: 'A3',
      treatmentName: 'eager load',
    },
  }
  */

  // Do not sample this specific span
  return name !== 'Search from navbar';
}

Inheritance

Whatever a transaction's sampling decision, that decision will be passed to its child spans and from there to any transactions they subsequently cause in other services.

(See Distributed Tracing for more about how that propagation is done.)

If the transaction currently being created is one of those subsequent transactions (in other words, if it has a parent transaction), the upstream (parent) sampling decision will be included in the sampling context data. Your tracesSampler can use this information to choose whether to inherit that decision. In most cases, inheritance is the right choice, to avoid breaking distributed traces. A broken trace will not include all your services.

tracesSampler: samplingContext => {
  // always inherit
  if (samplingContext.parentSampled !== undefined) {
    return samplingContext.parentSampled
  }

  ...
  // rest of sampling logic here
}

If you're using a tracesSampleRate rather than a tracesSampler, the decision will always be inherited.

Precedence

There are multiple ways for a transaction to end up with a sampling decision.

• Random sampling according to a static sample rate set in tracesSampleRate
• Random sampling according to a sample function rate returned by tracesSampler
• Absolute decision (100% chance or 0% chance) returned by tracesSampler
• If the transaction has a parent, inheriting its parent's sampling decision
• Absolute decision passed to startTransaction

When there's the potential for more than one of these to come into play, the following precedence rules apply:

1. If a sampling decision is passed to startTransaction, that decision will be used, overriding everything else.
2. If tracesSampler is defined, its decision will be used. It can choose to keep or ignore any parent sampling decision, use the sampling context data to make its own decision, or choose a sample rate for the transaction. We advise against overriding the parent sampling decision because it will break distributed traces)
3. If tracesSampler is not defined, but there's a parent sampling decision, the parent sampling decision will be used.
4. If tracesSampler is not defined and there's no parent sampling decision, tracesSampleRate will be used.